Data Science for Precision Prevention

National Cancer Institute
Division of Cancer Epidemiology and Genetics (DCEG)
United States Maryland Washington DC Metropolitan area
dceg.cancer.gov/about/staff-directory/biographies/A-J/almeida-jonas

Description

The new Data Science Laboratory created at the Division of Cancer Epidemiology and Genetics (DCEG) of the National Cancer Institute in 2019 is opening postdoctoral positions in research projects ranging from distributed Machine Learning to Computational Pathology and Population Science. These are technology and data-intensive intensive projects that explore computational solutions at the consumer-facing intersection of Cloud and Web computing. DCEG is involved in cohort studies, both national and international, that involve hundreds of thousands of participants. The data types are constantly evolving and range from genomics and digital pathology to environmental and behavioural signals. The technology landscape is evolving just as fast, with wearable sensing, consumer-facing health services creating entirely new opportunities to research and develop Precision Prevention of Cancer. Self-directed and community-driven Education plays a major role in the configuration of these positions. The candidates selected will be invited to contribute to hackathons such as cloud4bio.github.io .


Qualifications

A PhD with an emphasis in Bioinformatics, Computational Statistics, Computer Science or Data Science. Candidates with familiarity with Web and Cloud Technologies, and with an interest in exploring AI-first software engineering applications to cancer research and prevention will be favoured.


Start date

As soon as possible

Start date

To be determined

How to Apply

email


Contact

Jonas Almeida
jonas.dealmeida@nih.gov with cc to geeta.joshi@nih.gov